The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-27"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "5691790 (up from 5589626 yesterday: 1.83 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "355629 (up from 350453 yesterday: 1.48 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.25



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1699176 18263 1.09 100418 1505 1.52 5.91
Brazil 411821 20599 5.27 25598 1086 4.43 6.22
Russia 370680 8338 2.30 3968 161 4.23 1.07
United Kingdom 268619 2020 0.76 37542 412 1.11 13.98
Spain 236259 0 0.00 27117 0 0.00 11.48
Italy 231139 584 0.25 33072 117 0.36 14.31
France 183038 191 0.10 28599 66 0.23 15.62
Germany 181524 324 0.18 8428 56 0.67 4.64
Turkey 159797 1035 0.65 4431 34 0.77 2.77
India 158086 7293 4.84 4534 190 4.37 2.87
Iran 141591 2080 1.49 7564 56 0.75 5.34
Peru 135905 6154 4.74 3983 195 5.15 2.93
Canada 88989 899 1.02 6876 123 1.82 7.73
China 84106 3 0.00 4638 0 0.00 5.51
Chile 82289 4328 5.55 841 35 4.34 1.02
Saudi Arabia 78541 1815 2.37 425 14 3.41 0.54
Mexico 78023 3463 4.64 8597 463 5.69 11.02
Pakistan 59151 1446 2.51 1225 28 2.34 2.07
Belgium 57592 137 0.24 9364 30 0.32 16.26
Qatar 48947 1740 3.69 30 2 7.14 0.06
Netherlands 45970 190 0.42 5890 15 0.26 12.81
Belarus 38956 897 2.36 214 6 2.88 0.55
Bangladesh 38292 1541 4.19 544 22 4.21 1.42
Ecuador 38103 748 2.00 3275 72 2.25 8.60
Sweden 35088 648 1.88 4220 95 2.30 12.03
Singapore 32876 533 1.65 23 0 0.00 0.07
United Arab Emirates 31969 883 2.84 255 2 0.79 0.80
Portugal 31292 285 0.92 1356 14 1.04 4.33
Switzerland 30776 15 0.05 1917 2 0.10 6.23
South Africa 25937 1673 6.89 552 28 5.34 2.13
Ireland 24803 68 0.27 1631 16 0.99 6.58
Colombia 24104 1101 4.79 803 27 3.48 3.33
Indonesia 23851 686 2.96 1473 55 3.88 6.18
Kuwait 23267 692 3.07 175 3 1.74 0.75
Poland 22473 399 1.81 1028 4 0.39 4.57
Ukraine 21905 321 1.49 658 14 2.17 3.00
Egypt 19666 910 4.85 816 19 2.38 4.15
Romania 18594 165 0.90 1227 11 0.90 6.60
Israel 16793 36 0.21 281 0 0.00 1.67
Japan 16651 28 0.17 858 12 1.42 5.15
Austria 16591 34 0.21 645 2 0.31 3.89
Dominican Republic 15723 459 3.01 474 6 1.28 3.01
Philippines 15049 380 2.59 904 18 2.03 6.01
Argentina 13933 705 5.33 500 16 3.31 3.59
Afghanistan 12456 625 5.28 227 7 3.18 1.82
Panama 11728 281 2.45 315 2 0.64 2.69
Denmark 11680 53 0.46 565 2 0.36 4.84
Korea, South 11344 79 0.70 269 0 0.00 2.37
Serbia 11275 48 0.43 240 1 0.42 2.13
Bahrain 9692 326 3.48 15 1 7.14 0.15
Kazakhstan 9304 335 3.74 37 0 0.00 0.40
Czechia 9086 36 0.40 317 0 0.00 3.49
Algeria 8857 160 1.84 623 6 0.97 7.03
Nigeria 8733 389 4.66 254 5 2.01 2.91
Norway 8401 18 0.21 235 0 0.00 2.80
Oman 8373 255 3.14 39 2 5.41 0.47
Armenia 7774 372 5.03 98 7 7.69 1.26
Bolivia 7768 632 8.86 280 6 2.19 3.60
Malaysia 7619 15 0.20 115 0 0.00 1.51
Morocco 7601 24 0.32 202 0 0.00 2.66
Moldova 7537 232 3.18 274 7 2.62 3.64
Ghana 7303 186 2.61 34 0 0.00 0.47
Australia 7150 11 0.15 103 0 0.00 1.44
Finland 6692 64 0.97 313 1 0.32 4.68
Cameroon 5436 0 0.00 175 0 0.00 3.22
Iraq 5135 287 5.92 175 6 3.55 3.41
Honduras 4640 239 5.43 194 6 3.19 4.18
Azerbaijan 4568 165 3.75 54 2 3.85 1.18
Sudan 4346 370 9.31 195 25 14.71 4.49
Guatemala 4145 191 4.83 68 5 7.94 1.64
Luxembourg 4001 6 0.15 110 0 0.00 2.75
Hungary 3793 22 0.58 505 6 1.20 13.31
Tajikistan 3424 158 4.84 47 0 0.00 1.37
Uzbekistan 3369 79 2.40 14 0 0.00 0.42
Guinea 3275 0 0.00 20 0 0.00 0.61
Senegal 3253 92 2.91 38 2 5.56 1.17
Thailand 3054 9 0.30 57 0 0.00 1.87
Greece 2903 11 0.38 173 0 0.00 5.96
Djibouti 2697 229 9.28 18 4 28.57 0.67
Cote d’Ivoire 2556 79 3.19 31 1 3.33 1.21
Congo (Kinshasa) 2546 143 5.95 68 0 0.00 2.67
Bulgaria 2460 17 0.70 133 3 2.31 5.41
Bosnia and Herzegovina 2435 19 0.79 151 2 1.34 6.20
Gabon 2319 81 3.62 14 0 0.00 0.60
Croatia 2244 0 0.00 101 0 0.00 4.50
El Salvador 2109 67 3.28 39 3 8.33 1.85
North Macedonia 2039 25 1.24 119 3 2.59 5.84
Cuba 1974 11 0.56 82 0 0.00 4.15
Estonia 1840 6 0.33 66 1 1.54 3.59
Iceland 1805 1 0.06 10 0 0.00 0.55
Somalia 1731 20 1.17 67 0 0.00 3.87
Lithuania 1647 8 0.49 66 1 1.54 4.01
Kyrgyzstan 1520 52 3.54 16 0 0.00 1.05
Slovakia 1515 2 0.13 28 0 0.00 1.85
New Zealand 1504 0 0.00 22 1 4.76 1.46
Kenya 1471 123 9.12 55 3 5.77 3.74
Slovenia 1471 2 0.14 108 0 0.00 7.34
Sri Lanka 1469 150 11.37 10 0 0.00 0.68
Maldives 1457 19 1.32 5 0 0.00 0.34
Haiti 1320 146 12.44 34 1 3.03 2.58
Venezuela 1245 34 2.81 11 0 0.00 0.88
Guinea-Bissau 1195 17 1.44 7 0 0.00 0.59
Lebanon 1161 21 1.84 26 0 0.00 2.24
Mali 1116 39 3.62 70 0 0.00 6.27
Latvia 1057 4 0.38 23 1 4.55 2.18
Zambia 1057 137 14.89 7 0 0.00 0.66
Tunisia 1051 0 0.00 48 0 0.00 4.57
Albania 1050 21 2.04 33 0 0.00 3.14
Kosovo 1047 9 0.87 30 0 0.00 2.87
Equatorial Guinea 1043 0 0.00 12 0 0.00 1.15

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 364965 1129 0.31 29484 182 0.62 8.08 18760.83 1515.61 1 in 53
New Jersey 156628 864 0.55 11339 145 1.30 7.24 17633.94 1276.60 1 in 57
Illinois 114306 1111 0.98 5083 160 3.25 4.45 9020.49 401.13 1 in 111
California 101050 1663 1.67 3895 76 1.99 3.85 2557.44 98.58 1 in 391
Massachusetts 94220 527 0.56 6547 74 1.14 6.95 13557.80 942.08 1 in 74
Pennsylvania 73557 779 1.07 5265 102 1.98 7.16 5745.75 411.26 1 in 174
Texas 58542 1312 2.29 1581 35 2.26 2.70 2018.98 54.52 1 in 495
Michigan 55608 504 0.91 5334 68 1.29 9.59 5568.12 534.10 1 in 180
Florida 52634 379 0.73 2319 60 2.66 4.41 2450.63 107.97 1 in 408
Maryland 48423 736 1.54 2392 59 2.53 4.94 8009.52 395.65 1 in 125
Georgia 44638 655 1.49 1933 37 1.95 4.33 4204.22 182.06 1 in 238
Connecticut 41288 -15 -0.04 3803 34 0.90 9.21 11580.55 1066.67 1 in 86
Virginia 40249 907 2.31 1281 45 3.64 3.18 4715.47 150.08 1 in 212
Louisiana 38497 443 1.16 2723 21 0.78 7.07 8281.07 585.74 1 in 121
Ohio 33439 433 1.31 2044 42 2.10 6.11 2860.70 174.86 1 in 350
Indiana 32437 359 1.12 2030 26 1.30 6.26 4818.17 301.54 1 in 208
North Carolina 24916 461 1.89 844 43 5.37 3.39 2375.65 80.47 1 in 421
Colorado 24754 202 0.82 1392 40 2.96 5.62 4298.51 241.72 1 in 233
Minnesota 22464 504 2.30 942 34 3.74 4.19 3983.24 167.03 1 in 251
Tennessee 21285 390 1.87 353 10 2.92 1.66 3114.95 51.66 1 in 321
Washington 20406 225 1.11 1095 17 1.58 5.37 2679.75 143.80 1 in 373
Iowa 18369 666 3.76 496 19 3.98 2.70 5822.06 157.21 1 in 172
Arizona 17318 454 2.69 834 24 2.96 4.82 2274.23 109.52 1 in 440
Wisconsin 16462 599 3.78 539 22 4.26 3.27 2827.34 92.57 1 in 354
Alabama 16032 382 2.44 583 3 0.52 3.64 3269.71 118.90 1 in 306
Rhode Island 14353 143 1.01 655 21 3.31 4.56 13548.73 618.30 1 in 74
Mississippi 14044 313 2.28 670 18 2.76 4.77 4718.85 225.12 1 in 212
Nebraska 12984 365 2.89 153 6 4.08 1.18 6712.13 79.09 1 in 149
Missouri 12816 237 1.88 689 -4 -0.58 5.38 2088.17 112.26 1 in 479
South Carolina 10623 207 1.99 466 20 4.48 4.39 2063.23 90.51 1 in 485
Kansas 9291 92 1.00 213 3 1.43 2.29 3189.15 73.11 1 in 314
Delaware 9096 30 0.33 344 9 2.69 3.78 9341.07 353.27 1 in 107
Kentucky 9077 126 1.41 400 6 1.52 4.41 2031.71 89.53 1 in 492
Utah 8706 86 1.00 105 4 3.96 1.21 2715.57 32.75 1 in 368
District of Columbia 8406 72 0.86 445 5 1.14 5.29 11910.75 630.54 1 in 84
Nevada 8150 93 1.15 402 8 2.03 4.93 2645.97 130.51 1 in 378
New Mexico 7252 122 1.71 329 4 1.23 4.54 3458.56 156.90 1 in 289
Arkansas 6277 97 1.57 120 1 0.84 1.91 2079.97 39.76 1 in 481
Oklahoma 6229 91 1.48 322 4 1.26 5.17 1574.18 81.38 1 in 635
South Dakota 4710 57 1.23 54 4 8.00 1.15 5324.09 61.04 1 in 188
New Hampshire 4286 55 1.30 223 9 4.21 5.20 3152.14 164.01 1 in 317
Oregon 4038 71 1.79 148 0 0.00 3.67 957.39 35.09 1 in 1045
Puerto Rico 3397 73 2.20 129 0 0.00 3.80 1063.66 40.39 1 in 940
Idaho 2699 73 2.78 81 2 2.53 3.00 1506.08 45.20 1 in 664
North Dakota 2439 17 0.70 56 2 3.70 2.30 3200.53 73.48 1 in 312
Maine 2137 28 1.33 81 2 2.53 3.79 1589.78 60.26 1 in 629
West Virginia 1899 125 7.05 74 2 2.78 3.90 1062.59 41.41 1 in 941
Vermont 971 4 0.41 54 0 0.00 5.56 1556.12 86.54 1 in 643
Wyoming 860 10 1.18 14 1 7.69 1.63 1485.94 24.19 1 in 673
Hawaii 644 1 0.16 17 0 0.00 2.64 454.84 12.01 1 in 2199
Montana 481 2 0.42 17 0 0.00 3.53 450.05 15.91 1 in 2222
Alaska 411 1 0.24 10 0 0.00 2.43 561.82 13.67 1 in 1780

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1811544 364965 20.15 93121.46
New Jersey 660325 156628 23.72 74342.59
Illinois 803973 114306 14.22 63445.74
California 1736894 101050 5.82 43958.40
Massachusetts 545481 94220 17.27 78492.09
Pennsylvania 419407 73557 17.54 32761.08
Texas 855674 58542 6.84 29510.19
Michigan 494252 55608 11.25 49490.25
Florida 933571 52634 5.64 43466.92
Maryland 262055 48423 18.48 43345.83
Georgia 440756 44638 10.13 41512.52
Connecticut 225362 41288 18.32 63210.06
Virginia 277047 40249 14.53 32458.13
Louisiana 347647 38497 11.07 74782.19
Ohio 349725 33439 9.56 29918.90
Indiana 235333 32437 13.78 34956.23
North Carolina 364156 24916 6.84 34720.93
Colorado 159420 24754 15.53 27683.16
Minnesota 216532 22464 10.37 38394.70
Tennessee 409630 21285 5.20 59947.25
Washington 332791 20406 6.13 43702.65
Iowa 139526 18369 13.17 44222.79
Arizona 196266 17318 8.82 25773.97
Wisconsin 227067 16462 7.25 38998.64
Alabama 195794 16032 8.19 39932.00
Rhode Island 138383 14353 10.37 130628.75
Mississippi 148132 14044 9.48 49773.05
Nebraska 90421 12984 14.36 46743.50
Missouri 165521 12816 7.74 26969.11
South Carolina 175683 10623 6.05 34121.72
Kansas 84488 9291 11.00 29000.65
Delaware 55421 9096 16.41 56914.20
Kentucky 182101 9077 4.98 40759.70
Utah 200626 8706 4.34 62579.11
District of Columbia 42697 8406 19.69 60498.85
Nevada 128559 8150 6.34 41737.82
New Mexico 180646 7252 4.01 86151.99
Arkansas 115596 6277 5.43 38304.41
Oklahoma 178638 6229 3.49 45145.14
South Dakota 38006 4710 12.39 42961.19
New Hampshire 64232 4286 6.67 47239.45
Oregon 116992 4038 3.45 27738.10
Puerto Rico 3397 3397 100.00 1063.66
Idaho 43017 2699 6.27 24004.15
North Dakota 67340 2439 3.62 88365.51
Maine 45617 2137 4.68 33935.87
West Virginia 88461 1899 2.15 49498.45
Vermont 30999 971 3.13 49678.76
Wyoming 21502 860 4.00 37151.91
Hawaii 51202 644 1.26 36162.87
Montana 35643 481 1.35 33349.30
Alaska 46363 411 0.89 63376.83

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 56948 2190 4.00 17918 31.46 37133 1897 105 5.86 3.33
Tamil Nadu 18545 817 4.61 9909 53.43 8500 136 8 6.25 0.73
Delhi 15257 792 5.48 7264 47.61 7690 303 15 5.21 1.99
Gujarat 15205 376 2.54 7549 49.65 6718 938 23 2.51 6.17
Rajasthan 7816 280 3.72 4562 58.37 3082 172 2 1.18 2.20
Madhya Pradesh 7261 237 3.37 3927 54.08 3021 313 8 2.62 4.31
Uttar Pradesh 6991 267 3.97 3991 57.09 2818 182 5 2.82 2.60
State Unassigned 4332 319 7.95 0 0.00 4332 0 0 NaN 0.00
West Bengal 4192 183 4.56 1578 37.64 2325 289 6 2.12 6.89
Andhra Pradesh 3117 134 4.49 2065 66.25 994 58 1 1.75 1.86
Bihar 3036 68 2.29 918 30.24 2103 15 1 7.14 0.49
Karnataka 2418 135 5.91 765 31.64 1604 47 3 6.82 1.94
Punjab 2139 33 1.57 1918 89.67 181 40 0 0.00 1.87
Telangana 2098 107 5.37 1321 62.96 714 63 6 10.53 3.00
Jammu and Kashmir 1921 162 9.21 854 44.46 1041 26 2 8.33 1.35
Odisha 1593 76 5.01 812 50.97 774 7 0 0.00 0.44
Haryana 1381 76 5.82 838 60.68 525 18 2 12.50 1.30
Kerala 1004 40 4.15 552 54.98 445 7 1 16.67 0.70
Assam 784 101 14.79 88 11.22 689 4 0 0.00 0.51
Uttarakhand 469 69 17.25 79 16.84 383 4 0 0.00 0.85
Jharkhand 458 32 7.51 191 41.70 263 4 0 0.00 0.87
Chhattisgarh 364 4 1.11 83 22.80 281 0 0 NaN 0.00
Chandigarh 278 0 0.00 187 67.27 87 4 0 0.00 1.44
Himachal Pradesh 273 26 10.53 66 24.18 198 6 2 50.00 2.20
Tripura 242 10 4.31 165 68.18 77 0 0 NaN 0.00
Goa 68 1 1.49 37 54.41 31 0 0 NaN 0.00
Ladakh 54 1 1.89 43 79.63 11 0 0 NaN 0.00
Puducherry 49 0 0.00 17 34.69 32 0 0 NaN 0.00
Manipur 44 5 12.82 4 9.09 40 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 20 0 0.00 12 60.00 7 1 0 0.00 5.00
Nagaland 9 0 0.00 0 0.00 9 0 0 NaN 0.00
Arunachal Pradesh 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Sikkim 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 697561 87801 384 0.44 12.59 3626 175 24037 15954 18.17
Piemonte 298571 30387 73 0.24 10.18 1118 68 6464 3828 12.60
Emilia-Romagna 301568 27627 16 0.06 9.16 459 78 3998 4083 14.78
Veneto 616691 19113 8 0.04 3.10 168 9 2287 1895 9.91
Toscana 238667 10082 12 0.12 4.22 132 31 1460 1027 10.19
Liguria 98835 9589 39 0.41 9.70 205 14 1269 1438 15.00
Lazio 242287 7672 11 0.14 3.17 1062 65 3488 701 9.14
Marche 98535 6718 0 0.00 6.82 90 13 1450 996 14.83
Campania 185724 4773 6 0.13 2.57 275 6 1146 406 8.51
Puglia 109499 4479 10 0.22 4.09 170 17 1513 495 11.05
P.A. Trento 82269 4422 7 0.16 5.38 19 2 477 462 10.45
Sicilia 140295 3435 5 0.15 2.45 73 10 1318 272 7.92
Friuli Venezia Giulia 123063 3255 4 0.12 2.64 51 1 356 331 10.17
Abruzzo 70473 3235 5 0.15 4.59 138 3 866 400 12.36
P.A. Bolzano 62247 2593 0 0.00 4.17 27 5 171 291 11.22
Umbria 66219 1431 0 0.00 2.16 13 2 32 75 5.24
Sardegna 53294 1355 1 0.07 2.54 41 2 215 130 9.59
Valle d’Aosta 14459 1181 0 0.00 8.17 17 1 27 143 12.11
Calabria 65631 1158 1 0.09 1.76 35 1 190 96 8.29
Molise 13629 434 2 0.46 3.18 3 2 166 22 5.07
Basilicata 27734 399 0 0.00 1.44 7 0 36 27 6.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 49148 541 1.11 4229 89 2.15 8.60 5756.60 495.33 1 in 174
Ontario 27943 319 1.15 2264 29 1.30 8.10 1899.36 153.89 1 in 526
Alberta 6926 25 0.36 141 2 1.44 2.04 1569.40 31.95 1 in 637
British Columbia 2550 9 0.35 162 1 0.62 6.35 498.93 31.70 1 in 2004
Nova Scotia 1053 1 0.10 59 0 0.00 5.60 1077.29 60.36 1 in 928
Saskatchewan 637 3 0.47 10 2 25.00 1.57 539.07 8.46 1 in 1855
Manitoba 292 0 0.00 7 0 0.00 2.40 211.98 5.08 1 in 4718
Newfoundland and Labrador 260 0 0.00 3 0 0.00 1.15 498.69 5.75 1 in 2005
New Brunswick 123 1 0.82 0 0 NaN 0.00 157.69 0.00 1 in 6341
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1592 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1066 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 671 7 1.04
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 564 3 0.53
Fujian 358 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 232 1 0.43
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 5193.08 306.90 1 in 193
Brazil 1967.61 122.30 1 in 508
Russia 2565.26 27.46 1 in 390
United Kingdom 4043.03 565.05 1 in 247
Spain 5063.42 581.16 1 in 197
Italy 3821.74 546.83 1 in 262
France 2732.32 426.91 1 in 366
Germany 2192.58 101.80 1 in 456
Turkey 1977.44 54.83 1 in 506
India 118.06 3.39 1 in 8470
Iran 1744.59 93.20 1 in 573
Peru 4224.59 123.81 1 in 237
Canada 2367.36 182.92 1 in 422
China 60.68 3.35 1 in 16479
Chile 4558.95 46.59 1 in 219
Saudi Arabia 2384.37 12.90 1 in 419
Mexico 603.89 66.54 1 in 1656
Pakistan 300.26 6.22 1 in 3330
Belgium 5051.93 821.40 1 in 198
Qatar 18547.56 11.37 1 in 54

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 199968 21362 10.68
Cook Illinois 74521 3455 4.64
Los Angeles California 48761 2201 4.51
Nassau New York 40034 2137 5.34
Suffolk New York 39258 1861 4.74
Westchester New York 33186 1352 4.07
Philadelphia Pennsylvania 21975 1262 5.74
Middlesex Massachusetts 20706 1549 7.48
Wayne Michigan 19999 2406 12.03
Hudson New Jersey 18606 1158 6.22
Bergen New Jersey 18023 1547 8.58
Suffolk Massachusetts 17596 850 4.83
Essex New Jersey 17338 1624 9.37
Miami-Dade Florida 17225 655 3.80
Passaic New Jersey 15873 899 5.66
Middlesex New Jersey 15547 964 6.20
Union New Jersey 15324 1042 6.80
Fairfield Connecticut 15314 1242 8.11
Prince George’s Maryland 14100 520 3.69
Essex Massachusetts 13778 878 6.37
Rockland New York 13047 626 4.80
Harris Texas 11542 223 1.93
New Haven Connecticut 11124 934 8.40
Providence Rhode Island 10874 0 0.00
Worcester Massachusetts 10647 716 6.72
Montgomery Maryland 10467 572 5.46
Orange New York 10292 443 4.30
Fairfax Virginia 10069 364 3.62
Hartford Connecticut 9962 1203 12.08
Dallas Texas 9385 221 2.35
Marion Indiana 9371 546 5.83
Maricopa Arizona 8627 397 4.60
Ocean New Jersey 8514 704 8.27
District of Columbia District of Columbia 8406 445 5.29
Oakland Michigan 8260 961 11.63
Monmouth New Jersey 7961 575 7.22
Norfolk Massachusetts 7880 794 10.08
King Washington 7863 559 7.11
Lake Illinois 7845 270 3.44
Plymouth Massachusetts 7656 530 6.92
Hennepin Minnesota 7540 565 7.49
Jefferson Louisiana 7394 438 5.92
DuPage Illinois 7350 347 4.72
Riverside California 7139 303 4.24
Orleans Louisiana 7045 506 7.18
San Diego California 6882 249 3.62
Broward Florida 6825 305 4.47
Bristol Massachusetts 6779 390 5.75
Milwaukee Wisconsin 6748 282 4.18
Montgomery Pennsylvania 6738 644 9.56

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc